#cross-subject-generalization News & Analysis

BioFormer: Rethinking Cross-Subject Generalization via Spectral Structural Alignment in Biomedical Time-Series

BioFormer, a new machine learning framework, addresses cross-subject generalization in biomedical time-series analysis by using spectral structural alignment to suppress individual variability. The model achieves 6% F1-score improvements over 12 baselines through frequency-band alignment and adaptive normalization techniques.